Blog Introduction

Here you'll find insights and perspectives drawn from delivering software solutions to support cutting edge R&D projects in industry.

Working at the intersection of software and science is a fascinating endeavor. We operate at the tiniest scales, where even the laws of physics feel mysterious, and at the largest scales, shaping public health and global climate. We wrestle with arcane, deeply technical questions, and profoundly human ones. Every solution we deliver supports R&D journeys that straddle the boundary between digital bits and physical atoms, journeys whose destinations are often unknown.

But working at this intersection is also challenging. Some hurdles are familiar across the broader tech ecosystem: the need to balance chasing new developments with relying on proven methods. Others are unique to the nexus of software and science. We contend with outdated formats and poorly documented tools. We navigate closed ecosystems and IP (especially in the life sciences), in contrast to the open APIs and rich documentation our peers in tech-tech enjoy. We must stay on top of the rapid pace of change in both science and tech—two domains evolving at breakneck speed. To succeed, our mental models must stretch from the intricacies of cloud-native infrastructure to the quirks of microbial genetics.

This blog is my chronicle of this nexus. It’s a space to share what I’ve learned from an incredible community, and to keep learning and building for years to come. I’m especially excited about the impact AI will have on the future of science and human endeavors in general.